Hrishikesh Dhole
Data Science Research Assistant @Seattle University College Of Science And Engineering
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WORK HISTORY
Data Science Research Assistant @Seattle University College Of Science And Engineering
Seattle, WA, US
Working as a Research Assistant under Dr. Elio Zhang. Conducted research in high-dimensional statistics focused on differential correlation testing and false discovery rate (FDR) control to detect signal while limiting false positives.2. Built and maintained Python-based analysis pipelines and a reproducible experimentation framework using simulated datasets with known ground truth across Gaussian and non-Gaussian settings (t, Laplace, Exponential), scaling analyses to 250–500 features.3. Calibrated parameters and persisted validated defaults to enable consistent, automated runs while tracking key quality metrics (FDR) across experiments.4. Applied the same workflow to a prostate cancer gene-expression dataset to validate findings in a real biological setting and compare results with simulation outcomes.5. Created Power BI dashboards and analytical notebooks to monitor error rates, runtime, and method comparisons, translating technical results into stakeholder-friendly visuals.6. Improved performance through parallel processing, optimized logic, and clear documentation, reducing runtime and enabling faster, repeatable workflows.
EDUCATION
Seattle University
Master's degree
St. Vincent Palloti College of Engineering and Technology, Warha Road
Bachelor of Engineering
ABOUT HRISHIKESH DHOLE
Hi, I’m Hrishikesh Dhole, a data scientist with masters degree in Data Science from Seattle University and a background in Computer Engineering. I thrive at the intersection of software engineering, analytics, and machine learning, building systems that turn complex, unstructured data into clear, actionable insights.In my most recent work with Costco Wholesale, I delivered scalable AI and analytics solutions that transformed how the business understood customer sentiment and market trends in real time. By automating data pipelines, applying advanced NLP and machine learning models, and integrating insights into interactive dashboards, I helped shorten decision cycles and unlock new business opportunities.With expertise spanning Python, SQL, NLP/ML frameworks, cloud platforms (Azure, AWS, GCP), and visualization tools like Power BI and Tableau, I combine engineering precision with data storytelling. Whether it’s designing backend systems, building predictive models, or creating dashboards that drive decisions, I aim to bridge the gap between technology and business impact.I’m currently seeking full-time opportunities as a Data Scientist, AI/ML Engineer, Software Engineer, Data Analyst, or Data Engineer where I can grow, help others grow, and make a measurable impact with my work.
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